Implementation and analysis of remote sensing payload nanosattelite for deforestation monitoring in Indonesian forest

Nanosatellite is one type of artificial satellites are relatively small and lightweight mass, between 1 kg - 10 kg. Nanosatellite can be programmed to perform shared mission, one of which is for remote sensing. Remote sensing can be used for many purposes like to learn growth of a region, to create maps, to check weather condition, astronomy monitoring and etc. One of the remote sensing purposes that use in this research is for forest monitoring. Forest area in Indonesia is 120,084,434.79 Ha. To support this mission, need an imaging payload which is equipped with a camera to take the pictures of the object and a microcontroller to process the images before transmitted to the earth station. CAM130 cameras with OV9650 sensor was chosen because it has low prices and small power, so CAM130 is suited with nanosatellite environtment. For microcontroller-based, mini2440 with Samsung S3C2440A processor is selected to process the image. CAM130 and mini2440 this produces an image area coverage of 305.38 km and 240.81 km km based on testing on a map scale. The ability to take pictures and send them relatively quick 2.2 seconds to 3.2 seconds. Remote sensing payload has a total mass of 82.79 grams. CAM130 camera module has dimensions of 3.5 cm × 2.1 cm and mini2440 has dimensions 10 cm × 10 cm. Power consumption of 823 428 mW when the camera is active. The end result of a prototype imaging system for monitoring payload on nanosatelit deforestation in forests in Indonesia in the form of mini-plan map scale 1: 80000 cm.